From the course: Data Science Methodologies: Making Business Sense

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Solution 1

Solution 1

From the course: Data Science Methodologies: Making Business Sense

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Solution 1

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(upbeat music) - [Instructor] How did it? Here is how I went about it. I followed the steps of iterative development, starting with understanding and preparing the data, training and evaluating the model, and then deploying the model to be consumed by a web application. I started with phrasing the user story as: As a car buyer or a seller, I want to get an evaluation of a car, so that I may assess its acceptability. This user story relates to the business school. We need to translate it to a data mining gold, so that I can come up with some rough effort estimate and deliver my minimum viable product or a working prototype at the end of first sprint. So, I use the template of my bank marketing example from previous lessons and wrote the data science story as a data scientist, I want to try preliminary modeling to determine project feasibility. By limiting the scope this way allows a rough trial through the entire…

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